Relational algorithms for multi-bulk-synchronous processors

ACM SIGPLAN Notices

Volumn 48, Issue 8, 2013, Pages 301-302

  Diamos, Gregory ^a   Wu, Haicheng ^b   Wang, Jin ^b   Lele, Ashwin ^b   Yalamanchili, Sudhakar ^b  

^a NVIDIA   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

GPGPU; Relational Algebra

Indexed keywords

GPGPU; MEMORY SYSTEMS; MULTI-THREADING; PROCESSOR ARCHITECTURES; RELATIONAL ALGEBRA; RELATIONAL DATABASE; SINGLE-INSTRUCTION MULTIPLE-DATA; THROUGHPUT-OPTIMIZED;

ALGEBRA; DATA WAREHOUSES; MULTITASKING; PROGRAM PROCESSORS;

COMPUTER ARCHITECTURE;

EID: 84885199802     PISSN: 15232867     EISSN: None     Source Type: Journal    
DOI: 10.1145/2517327.2442555     Document Type: Conference Paper

References (2)

1. H. Wu, G. Diamos, S. Cadambi, and S. Yalamanchili. Kernel weaver: Automatically fusing database primitives for efficient gpu computation. In Proceedings of the 45th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO-45 '12, pages 107-118, 2012.
2. G. Diamos, H. Wu, A. Lele, J. Wang, and S. Yalamanchili. Efficient relational algebra algorithms and data structures for gpu. Technical Report GIT-CERCS-12-01, CERCS, Georgia Institute of Technology, 2012.